• CAPACITY
  • HISTORY
  • PLANNING
  • HUMAN

How to check resource availability with your AI

Connect ProjectManager to your AI client to pull real-time capacity data and historical work logs.

Ask AI about this page

Short answer

Can my AI tell me who is free to work?

Yes. Your agent pulls current resource lists and past timesheets to find people with open bandwidth. You'll get a clear view of who can take on new tasks.

The outcomes

What you'll see

The AI uses your project data to generate these specific insights.

CAPACITY

Current bandwidth

The AI checks your team list to show who is currently unassigned or has extra time.

HISTORY

Workload trends

By looking at logged hours, your agent identifies how much time certain roles actually need.

PLANNING

Staffing suggestions

You'll get a list of available people to help you assign upcoming project phases.

HUMAN

Final scheduling

The AI flags potential overloads, but you make the final call on who gets which task.

The workflow

What your AI does when you ask for availability.

Your agent handles the data gathering so you can focus on scheduling.

  1. Fetch team data

    The agent pulls a list of all people currently in your system.

    list_team_resources
  2. Review work logs

    It looks through recorded timesheets to see how much work was recently completed.

    list_timesheets
  3. Compare load

    The AI matches current resource counts against recent hours to find availability gaps.

    list_team_resourceslist_timesheets
  4. Summarize capacity

    Your agent provides a plain English summary of who is ready for new work.

    list_team_resources

Try it

Copy these to start.

Use these prompts to get moving immediately.

Starting points

These are opening lines. Replace the names with your actual team members or specific projects.

ProjectManager Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_9KFHUzXLaFty8dbT7OpiqAP3AlmKyz1gqwPkXK7i/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — ProjectManager capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "projectmanager-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_9KFHUzXLaFty8dbT7OpiqAP3AlmKyz1gqwPkXK7i/mcp"
    }
  }
}
Copy into chat04
  • Who on the Design team has the most free time right now?

  • Show me the timesheets for Marcus from last week.

  • Based on recent timesheets, how many hours does the QA team usually work per week?

  • List all team resources so I can see who is unassigned.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect ProjectManager once, then ask.

Connect your account in one click. Your login details stay encrypted on our side, and you can start chatting with your data immediately.

Connect ProjectManager to your AI

FAQ

How this task behaves

  • 01

    Can the AI edit my timesheets?

    No. The AI can only read timesheets to provide analysis; it cannot change or delete any records.

  • 02

    Can the AI assign tasks to people?

    No. The AI identifies who is available, but you must perform the actual task assignment in ProjectManager.

  • 03

    Does this work with Claude or Cursor?

    Yes, it works with any MCP-compatible client.

  • 04

    Can I ask about a specific person's workload?

    Yes, the AI can pull data for any individual listed in your team resources.

  • 05

    How does the AI know if someone is overbooked?

    It compares the current resource list against the hours recorded in recent timesheets.

  • More questions about ProjectManager? The Connector page answers them. See everything the ProjectManager Connector can do

Connect ProjectManager to Claude, Cursor, ChatGPT & more